DocumentCode :
2442263
Title :
An Independent Ups and Downs Control Method of Underwater Submersible Vehicle Based on Adaptive Fuzzy Control
Author :
Peng-Fei, Peng ; Zhong, Liu
Author_Institution :
Electron. Eng. Coll., Navy Univ. of Eng., Wuhan, China
Volume :
1
fYear :
2009
fDate :
26-27 Aug. 2009
Firstpage :
292
Lastpage :
295
Abstract :
As for actual operation requirement and characteristics of ups and downs movement of underwater submersible vehicle, an independent ups and downs control method based on adaptive fuzzy control was advanced. In this method, on optimization of membership function, EBP algorithm of multiple layers forward neural network was used to correct parameters of membership function, and learning rule of Delta-Bar-Delta was used to adjust learning speed, which mended convergence speed of EBP algorithm, and problem of sectional minimum was avoided at the same time. It was illuminated by simulation experiments that independent ups and downs movement of underwater submersible vehicle could not be modeled precisely, and disturbance had characteristics of serious nonlinear and time change, which could be improved by this adaptive fuzzy control method.
Keywords :
adaptive control; fuzzy control; learning systems; neurocontrollers; optimisation; underwater vehicles; adaptive fuzzy control; delta-bar-delta learning rule; independent ups-downs control method; membership function optimization; multiple layer forward neural network; underwater submersible vehicle; Adaptive control; Automotive engineering; Control systems; Educational institutions; Fuzzy control; Programmable control; Underwater vehicles; Uninterruptible power systems; Vehicle dynamics; Vehicle safety; fuzzy control; independent ups and downs; membership function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
Conference_Location :
Hangzhou, Zhejiang
Print_ISBN :
978-0-7695-3752-8
Type :
conf
DOI :
10.1109/IHMSC.2009.81
Filename :
5336166
Link To Document :
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